Ontology-driven geographic information systems

Fonseca, Frederico; Egenhofer, Max J.

doi:10.1145/320134.320137

Cited by 184 publications

(152 citation statements)

References 25 publications

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“…Fonseca et al (2002) proposed a type of semantic framework based on geo-spatial information structures. The SPIN project (May et al, 2003) supported by European Commission is a web based spatial data mining system, which combines existing geographic information system with data mining function into a completely coupled, open and extensible system.…”

Section: Related Workmentioning

confidence: 99%

Global polar geospatial information service retrieval based on search engine and ontology reasoning

Chen¹,

Dongcheng

Di³

et al. 2007

Open-File Report

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In order to improve the access precision of polar geospatial information service on web, a new methodology for retrieving global spatial information services based on geospatial service search and ontology reasoning is proposed, the geospatial service search is implemented to find the coarse service from web, the ontology reasoning is designed to find the refined service from the coarse service. The proposed framework includes standardized distributed geospatial web services, a geospatial service search engine, an extended UDDI registry, and a multi-protocol geospatial information service client. Some key technologies addressed include service discovery based on search engine and service ontology modeling and reasoning in the Antarctic geospatial context. Finally, an Antarctica multi protocol OWS portal prototype based on the proposed methodology is introduced.

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Section: Related Workmentioning

confidence: 99%

Global polar geospatial information service retrieval based on search engine and ontology reasoning

Chen¹,

Dongcheng

Di³

et al. 2007

Open-File Report

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“…The main reason of a technical study is to identify precisely the distributed system components but also to assess the capability of the whole to provide the required level of service. The ability of a user to access consistently and coherently spatial data and processes across distributed databases depends on semantic interoperability [6]. Providing systems for crossrelating items of information across multiple sources is needed to solve problems.…”

Section: Adaptations At the Logical-physical Levelmentioning

confidence: 99%

MECOSIG Adapted to the Design of Distributed GIS

Pasquasy

Laplanche

Sainte

et al. 2005

On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops

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Abstract. For more than ten years MECOSIG has been used as a method for GIS design and implementation in various national and international projects achieved in our laboratory. During a decade, the method has been progressively improved and extended without modification of its basic principles. However the emergence of distributed GIS, implying several organizations capable to play various roles, requires the reappraisal of the methodology. New concerns are identified and a collection of new tools must be deployed. Taking the most of various recent researches completed for public authorities in Belgium, this paper presents some significant adaptations of the original MECOSIG method in order to cope with a distributed GIS environment.

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“…Ontology allows the integration of information and the building of relationships primarily based on data meaning (Fonseca, 2001). In the geographical domain, ontology helps to organise geographical information and formalises topology and mereology relations between geographical objects (Duce, 2009).…”

Section: Introductionmentioning

confidence: 99%